Xenetic Biosciences (XBIO) Operating Expenses (2011 - 2026)
Xenetic Biosciences' Operating Expenses came in at $1.63 million for Q2 2026, up 24.2% from $1.31 million a year earlier and up 24.7% from the prior quarter.
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Analysis
Xenetic Biosciences (XBIO) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Xenetic Biosciences reported Operating Expenses of $5.9 million, up 3.3% year-over-year; for FY2025, it was $5.81 million, down 13.3% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -16.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $6.7 million in FY2024 (-5.0%), $7.06 million in FY2023 (-16.3%), $8.42 million in FY2022 (+22.0%) and $6.91 million in FY2021 (-51.9%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2024.
- Year-over-year, Operating Expenses increased in two of the last eight quarters, with an average decline of 8.2%.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 119.3%), and the weakest in Q3 2021 (a decline of 83.8%).
- Business Quant data shows XBIO's Operating Expenses at $1.31 million (Q1 2026), $1.39 million (Q4 2025) and $1.57 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Xenetic Biosciences | 5.46 Mn | -20.36 Mn | - | 1.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.63 Mn |
| Mar 31, 2026 | 1.31 Mn |
| Dec 31, 2025 | 1.39 Mn |
| Sep 30, 2025 | 1.57 Mn |
| Jun 30, 2025 | 1.31 Mn |
| Mar 31, 2025 | 1.54 Mn |
| Dec 31, 2024 | 1.75 Mn |
| Sep 30, 2024 | 1.11 Mn |
| Jun 30, 2024 | 2.06 Mn |
| Mar 31, 2024 | 1.78 Mn |
| Dec 31, 2023 | 1.93 Mn |
| Sep 30, 2023 | 1.76 Mn |
| Jun 30, 2023 | 1.85 Mn |
| Mar 31, 2023 | 1.52 Mn |
| Dec 31, 2022 | 2.05 Mn |
| Sep 30, 2022 | 1.26 Mn |
| Jun 30, 2022 | 3.10 Mn |
| Mar 31, 2022 | 2.01 Mn |
| Dec 31, 2021 | 2.21 Mn |
| Sep 30, 2021 | 1.73 Mn |
API Access
Xenetic Biosciences Operating Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=operating-expenses&ticker=XBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "XBIO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=XBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();